Algorithms implemented using embedded systems are often heavily optimized and tailored for a specific target. In this session we discuss the workflow used to take an algorithm designed without constraints or target in mind and optimize it for a given hardware platform. We consider issues such as memory footprint, fixed-point conversion, execution speed, and so on. Also, components developed in MATLAB^® are brought into a system-level Simulink^® model, illustrating the benefits of Model-Based Design when elaborating on algorithms for embedded systems.

You will see how to:

• Generate processor-specific code to legacy or external environments
• Eliminate unnecessary initialization, termination logging, and error-handling code
• Verify code execution results using software-in-the-loop (SIL) and processor-in-the-loop (PIL) testing